Wireless Sensor Network Data Collection via Node Equivalence Grouping
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Solution Overview
Problem
Conventional wireless sensor network systems face increased data communication volume when sensor nodes aggregate and collect data, leading to inefficiencies in data transmission and processing.
Innovation Solution
The system introduces a method where nodes with similar sensor data designate one node as a proxy to transmit data on behalf of the group, reducing redundant data transmission and recharging cycles, thereby shortening the time required to collect data from all nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each node transmits its sensor data individually for aggregation, then complete data collection is achieved, but the volume of communicated data increases
Solution Approach 1:
The patent merges nodes with equivalent sensor data into groups, where only one representative node transmits data for the entire group. This combining approach reduces the number of transmitting nodes from N individual nodes to much fewer group representatives, directly reducing communication volume while maintaining complete data collection through the grouping mechanism.
Solution Approach 2:
The patent changes the transmission parameter from individual node transmission to group-based representative transmission. By modifying how data is aggregated (from node-level to group-level), the system reduces communication overhead while preserving data completeness through the equivalence comparison mechanism.
2Loss of information
If sensor nodes continuously transmit data, then data freshness is maintained, but energy consumption increases
Solution Approach 1:
Instead of continuous transmission, the patent implements periodic data transmission triggered by equivalence comparisons. Nodes compare their data with group representatives periodically, and transmission occurs only when necessary (when data becomes non-equivalent), reducing energy consumption while maintaining data freshness through event-driven updates.
Solution Approach 2:
The system enables nodes to self-determine when transmission is necessary through local equivalence comparisons with group representatives. Each node autonomously evaluates whether its data has changed significantly and only transmits when needed, eliminating the need for continuous scheduled transmissions and reducing overall energy consumption.
3Productivity
If all nodes transmit data simultaneously, then data collection speed is maximized, but communication overhead increases
Solution Approach 1:
The patent segments the network into multiple groups with designated representatives, organizing nodes hierarchically rather than having all nodes transmit at the same level. This segmentation reduces communication overhead by consolidating transmissions at the group representative level while maintaining parallel group operations for efficient data collection.
Data Source
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AI summary
A given node among nodes (#1) to (#6), ..., (#N) determines whether the contents of data obtained by a sensor of node (#1) as a first node and the contents of data obtained by a sensor of node (#2) as a second node are equivalent. If the contents of the data are determined to be equivalent, the given node among nodes (#1) to (#6), ..., (#N) suspends the transmission by node (#2), of the data obtained from the sensor of node (#2).